While watching a lot of theories (such as with or without label), but still cannot meet real application the difference, feel to drill the deep end,,,

1. According to the income level, and the shopping behavior of the past, to give the customer classification,
2. To explore bought and didn't buy a vacuum cleaner customers have different characteristics,
3. Analysis of e-commerce sites often shopping with occasional shopping customer characteristics,
4. Based on the symptoms of the patients were divided into different categories,

CodePudding user response:

No man or woman???

CodePudding user response:

There is a very simple method, is a supervised learning learning every time there is a standard answer, and your problem had nothing to do with, for example, the difference between the supervised learning and unsupervised learning lies in the training process, does not lie in reasoning process,

CodePudding user response:

refer to the second floor sunny7862632 response:

there is a very simple method, every time is a supervised learning learning is a standard answer, and your problem had nothing to do with, for example, the difference between the supervised learning and unsupervised learning lies in the training process, is not reasoning,

I have example is to give the title of the need to decide is to monitor or unsupervised learning

CodePudding user response:

4 based on the symptoms of the patients were divided into different categories, for example: through the analysis, should divide the patients into cough and cough, is this your reasoning process, and then solve this problem, you begin to use model training, collect data, you can manually tag the cough, those who don't cough, training, and again, this is called supervised learning, you can not mark, is obtained by data clustering methods such as direct, this is unsupervised learning, said it might be a little deviation, probably is this meaning,